Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Captum records 4,464 monthly visits with -42.7% month-over-month growth and Free pricing. Label Studio records 137,199 monthly visits with -16.1% growth and Contact for Pricing, Free pricing.
Open-source model interpretability for PyTorch
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | captum.ai | labelstud.io |
| Pricing Model | Free | Contact for Pricing, Free |
| Monthly Visits | 4.46K (4,464) | 137.2K (137,199) |
| MoM Traffic Delta | -3.33K (-42.7%) | -26.29K (-16.1%) |
| Primary Market & Share | 🇺🇸 United States (97.2%) | 🇺🇸 United States (23.9%) |
| Direct Visits / mo | 1.56K | 47.14K |
| User Rating | 4.7 | 4.7 |
| Supported Platforms | Website | Website |
Open-source model interpretability for PyTorch
Integrated Gradients, GradientShap, Saliency, Occlusion, DeepLIFT and related methods behind a single consistent interface.
Works across vision, text and other modalities, so the same interpretability workflow applies to different model types.
Supports most PyTorch model architectures and requires little or no modification to the original network.
An open-source, generic library for interpretability research where new algorithms can be implemented and benchmarked.

Label any data. Evaluate any AI.
Programmable interfaces and custom templates let one workspace handle images, video, audio, text, PDFs, time series and multi-modal tasks.
Build custom benchmarks and rubrics, run side-by-side model comparisons, and grade generated answers against retrieved sources for RAG evaluation.
Collect human preferences, corrections and rankings to feed reinforcement learning from human feedback and fine-tuning workflows.
Connect observability tools, storage and any model to power AI-assisted pre-labeling, benchmarking and continuous evaluation.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceBuild, train, and deploy computer vision for the physical world
Free / Open-sourceBuild, train, and deploy computer vision for the physical world

SpecialistEnterprise AI infrastructure where software and expert humans work together
SpecialistEnterprise AI infrastructure where software and expert humans work together

Free / Open-sourceSelf-hosted AI workspace for local and cloud models
Free / Open-sourceSelf-hosted AI workspace for local and cloud models

SpecialistThe environments frontier AI trains on, and the agents that do the recurring work
SpecialistThe environments frontier AI trains on, and the agents that do the recurring work

Human-validated training data and evaluation services for frontier AI models
SpecialistThe data, evaluations and systems behind AI that has to be right.
SpecialistThe data, evaluations and systems behind AI that has to be right.

AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models

SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
SpecialistThe multimodal data layer for computer vision and physical AI teams
SpecialistThe multimodal data layer for computer vision and physical AI teams